Ajit Kumar Behera

According to our database, Ajit Kumar Behera authored at least 13 papers between 2013 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

An artificial electric field algorithm-based neuro-fuzzy predictor for estimation of compressive strength of concrete structures: A machine learning approach.

Ch. Sanjeev Kumar Dash, Sarat Chandra Nayak, Ajit Kumar Behera, Satchidananda Dehuri

Informatica (Slovenia), 2023

2022

Estimation of Air Quality Index of Brajarajnagar and Talcher Industrial Region of Odisha State: A Higher Order Neural Network Approach.

Ch. Sanjeev Kumar Dash, Ajit Kumar Behera, Sarat Chandra Nayak, Satchidananda Dehuri, Jasaswi Prasad Mohanty

Proceedings of the OITS International Conference on Information Technology, 2022

Radial Basis Neural Networks for Class Discovery.

Ajit Kumar Behera, Jasaswi Prasad Mohanty, Ch. Sanjeev Kumar Dash, Satchidananda Dehuri

Proceedings of the OITS International Conference on Information Technology, 2022

2021

Software reliability prediction by recurrent artificial chemical link network.

Ajit Kumar Behera, Mrutyunjaya Panda, Satchidananda Dehuri

Int. J. Syst. Assur. Eng. Manag., 2021

A state-of-the-art neuro-swarm approach for prediction of software reliability.

Ajit Kumar Behera, Ch. Sanjeev Kumar Dash, Mrutyunjaya Panda, Satchidananda Dehuri, Rajib Mall

Int. J. Adv. Intell. Paradigms, 2021

A machine learning approach for estimating compressive strength of concrete structures using an artificial electric field algorithm-based neuro-fuzzy predictor.

Sarat Chandra Nayak, Ch. Sanjeev Kumar Dash, Ajit Kumar Behera, Bijan Bihari Mishra

Proceedings of the 19th OITS International Conference on Information Technology, 2021

Extreme Gradient Boosting and Soft Voting Ensemble Classifier for Diabetes Prediction.

Dayal Kumar Behera, Shreela Dash, Ajit Kumar Behera, Ch. Sanjeev Kumar Dash

Proceedings of the 19th OITS International Conference on Information Technology, 2021

2019

An Integrated CRO and FLANN Based Classifier for a Non-Imputed and Inconsistent Dataset.

Ch. Sanjeev Kumar Dash, Ajit Kumar Behera, Sarat Chandra Nayak, Satchidananda Dehuri, Sung-Bae Cho

Int. J. Artif. Intell. Tools, 2019

2016

Radial basis function neural networks: a topical state-of-the-artsurvey.

Ch. Sanjeev Kumar Dash, Ajit Kumar Behera, Satchidananda Dehuri, Sung-Bae Cho

Open Comput. Sci., 2016

2015

Towards Crafting an Improved Functional Link Artificial Neural Network Based on Differential Evolution and Feature Selection.

Ch. Sanjeev Kumar Dash, Ajit Kumar Behera, Satchidananda Dehuri, Sung-Bae Cho, Gi-Nam Wang

Informatica (Slovenia), 2015

2014

Classification of Web Logs Using Hybrid Functional Link Artificial Neural Networks.

Ajit Kumar Behera, Ch. Sanjeev Kumar Dash, Satchidananda Dehuri

Proceedings of the 3rd International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA) 2014, 2014

2013

Differential Evolution-Based Optimization of Kernel Parameters in Radial Basis Function Networks for Classification.

Ch. Sanjeev Kumar Dash, Ajit Kumar Behera, Satchidananda Dehuri, Sung-Bae Cho

Int. J. Appl. Evol. Comput., 2013

Neural Networks Training Based on Differential Evolution in Radial Basis Function Networks for Classification of Web Logs.

Ch. Sanjeev Kumar Dash, Ajit Kumar Behera, Manoj Kumar Pandia, Satchidananda Dehuri

Proceedings of the Distributed Computing and Internet Technology, 2013